An economic air pollution control model-application : photochemical smog in Los Angeles County in 1975

An economic air pollution control model, which determines the least cost of reaching various air quality levels, is formulated. The model takes the form of a general, nonlinear, mathematical programming problem. Primary contaminant emission levels are the independent variables. The objective function is the cost of attaining various emission levels and is to be minimized subject to constraints that given air quality levels be attained.

The model is applied to a simplified statement of the photochemical smog problem in Los Angeles County in 1975 with emissions specified by a two-dimensional vector, total reactive hydrocarbon, (RHC), and nitrogen oxide, (NO_x), emissions. Air quality, also two-dimensional, is measured by the expected number of days per year that nitrogen dioxide, (NO₂), and mid-day ozone, (O₃), exceed standards in Central Los Angeles.

The minimum cost of reaching various emission levels is found by a linear programming model. The base or "uncontrolled" emission levels are those that will exist in 1975 with the present new car control program and with the degree of stationary source control existing in 1971. Controls, basically "add-on devices", are considered here for used cars, aircraft, and existing stationary sources. It is found that with these added controls, Los Angeles County emission levels [(1300 tons/day RHC, 1000 tons /day NO_x) in 1969] and [(670 tons/day RHC, 790 tons/day NO_x) at the base 1975 level], can be reduced to 260 tons/day RHC (minimum RHC program) and 460 tons/day NO_x (minimum NO_x program).

"Phenomenological" or statistical air quality models provide the relationship between air quality and emissions. These models estimate the relationship by using atmospheric monitoring data taken at one (yearly) emission level and by using certain simple physical assumptions, (e. g., that emissions are reduced proportionately at all points in space and time). For NO₂, (concentrations assumed proportional to NO_x emissions), it is found that standard violations in Central Los Angeles, (55 in 1969), can be reduced to 25, 5, and 0 days per year by controlling emissions to 800, 550, and 300 tons /day, respectively. A probabilistic model reveals that RHC control is much more effective than NO_x control in reducing Central Los Angeles ozone. The 150 days per year ozone violations in 1969 can be reduced to 75, 30, 10, and 0 days per year by abating RHC emissions to 700, 450, 300, and 150 tons/day, respectively, (at the 1969 NO_x emission level).

The control cost-emission level and air quality-emission level relationships are combined in a graphical solution of the complete model to find the cost of various air quality levels. Best possible air quality levels with the controls considered here are 8 O₃ and 10 NO₂ violations per year (minimum ozone program) or 25 O₃ and 3 NO₂ violations per year (minimum NO₂ program) with an annualized cost of $230,000,000 (above the estimated $150,000,000 per year for the new car control program for Los Angeles County motor vehicles in 1975).

Analysis of soil carbon transit times and age distributions using network theories

The long-term soil carbon dynamics may be approximated by networks of linear compartments, permitting theoretical analysis of transit time (i.e., the total time spent by a molecule in the system) and age (the time elapsed since the molecule entered the system) distributions. We compute and compare these distributions for different network. configurations, ranging from the simple individual compartment, to series and parallel linear compartments, feedback systems, and models assuming a continuous distribution of decay constants. We also derive the transit time and age distributions of some complex, widely used soil carbon models (the compartmental models CENTURY and Rothamsted, and the continuous-quality Q-Model), and discuss them in the context of long-term carbon sequestration in soils. We show how complex models including feedback loops and slow compartments have distributions with heavier tails than simpler models. Power law tails emerge when using continuous-quality models, indicating long retention times for an important fraction of soil carbon. The responsiveness of the soil system to changes in decay constants due to altered climatic conditions or plant species composition is found to be stronger when all compartments respond equally to the environmental change, and when the slower compartments are more sensitive than the faster ones or lose more carbon through microbial respiration. Copyright 2009 by the American Geophysical Union.

Estimation of in-canopy ammonia sources and sinks in a fertilized Zea mays field.

An analytical model was developed to describe in-canopy vertical distribution of ammonia (NH(3)) sources and sinks and vertical fluxes in a fertilized agricultural setting using measured in-canopy mean NH(3) concentration and wind speed profiles. This model was applied to quantify in-canopy air-surface exchange rates and above-canopy NH(3) fluxes in a fertilized corn (Zea mays) field. Modeled air-canopy NH(3) fluxes agreed well with independent above-canopy flux estimates. Based on the model results, the urea fertilized soil surface was a consistent source of NH(3) one month following the fertilizer application, whereas the vegetation canopy was typically a net NH(3) sink with the lower portion of the canopy being a constant sink. The model results suggested that the canopy was a sink for some 70% of the estimated soil NH(3) emissions. A logical conclusion is that parametrization of within-canopy processes in air quality models are necessary to explore the impact of agricultural field level management practices on regional air quality. Moreover, there are agronomic and environmental benefits to timing liquid fertilizer applications as close to canopy closure as possible. Finally, given the large within-canopy mean NH(3) concentration gradients in such agricultural settings, a discussion about the suitability of the proposed model is also presented.

Influence of abiotic stress factors on VOCs emission from Portuguese rice paddy fields: relation with increased climate change

Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente Perfil de Gestão de Sistemas Ambientais

Variations inter journalières dans la structure des communautés de poissons : implications pour le développement de modèles de qualité d'habitats

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Proteogenomics and in silico structural and functional annotation of the barley powdery mildew Blumeria graminis f. sp. hordei

Blumeria graminis is an economically important obligate plant-pathogenic fungus, whose entire genome was recently sequenced and manually annotated using ab initio in silico predictions [7]. Employing large scale proteogenomic analysis we are now able to verify independently the existence of proteins predicted by 24% of open reading frame models. We compared the haustoria and sporulating hyphae proteomes and identified 71 proteins exclusively in haustoria, the feeding and effector-delivery organs of the pathogen. These proteins are ‘significantly smaller than the rest of the protein pool and predicted to be secreted. Most do not share any similarities with Swiss–Prot or Trembl entries nor possess any identifiable Pfam domains. We used a novel automated prediction pipeline to model the 3D structures of the proteins, identify putative ligand binding sites and predict regions of intrinsic disorder. This revealed that the protein set found exclusively in haustoria is significantly less disordered than the rest of the identified Blumeria proteins or random (and representative) protein sets generated from the yeast proteome. For most of the haustorial proteins with unknown functions no good templates could be found, from which to generate high quality models. Thus, these unknown proteins present potentially new protein folds that can be specific to the interaction of the pathogen with its host.

Structure of the planetary boundary layer over southeast England: modeling and measurements

The Weather Research and Forecasting model was applied to analyze variations in the planetary boundary layer (PBL) structure over Southeast England including central and suburban London. The parameterizations and predictive skills of two nonlocal mixing PBL schemes, YSU and ACM2, and two local mixing PBL schemes, MYJ and MYNN2, were evaluated over a variety of stability conditions, with model predictions at a 3 km grid spacing. The PBL height predictions, which are critical for scaling turbulence and diffusion in meteorological and air quality models, show significant intra-scheme variance (> 20%), and the reasons are presented. ACM2 diagnoses the PBL height thermodynamically using the bulk Richardson number method, which leads to a good agreement with the lidar data for both unstable and stable conditions. The modeled vertical profiles in the PBL, such as wind speed, turbulent kinetic energy (TKE), and heat flux, exhibit large spreads across the PBL schemes. The TKE predicted by MYJ were found to be too small and show much less diurnal variation as compared with observations over London. MYNN2 produces better TKE predictions at low levels than MYJ, but its turbulent length scale increases with height in the upper part of the strongly convective PBL, where it should decrease. The local PBL schemes considerably underestimate the entrainment heat fluxes for convective cases. The nonlocal PBL schemes exhibit stronger mixing in the mean wind fields under convective conditions than the local PBL schemes and agree better with large-eddy simulation (LES) studies.

A Influência da Concentração de Poder na Melhoria da Qualidade: O Caso Royal

This work intends to analyze the influence of the power in the process of quality improvement in managerial organizations, being taken based on a case study regarding to a company of medium load placed in the southeast area of Brazil which in the intention of solving difficulties in inserting its products in the market, it opted to implement quality programs. The data were collected through observations and bibliographical researches about the company, where the author participated as employee for a close period of 6 years. The results indicate that the imported methodologies of administration ¿ as it is the case of the quality models ¿ cannot produce the expected results, when these methodologies are implemented by ignoring cultural factors, mainly related to form as the power is shared and practiced in the organizations.

Avaliação externa de organizações hospitalares no Brasil: podemos fazer diferente?

Este artigo aborda aspectos relacionados ao uso de modelos de avaliação externa de serviços de saúde no Brasil, sobretudo acreditação hospitalar, a partir da experiência da autora com a implementação de modelos de avaliação da qualidade em hospitais, bem como de sua reflexão sobre acreditação enquanto objeto de estudo da pós-graduação. A autora aponta alguns dos resultados do uso destes modelos em hospitais e as especificidades de sua aplicação. Esses resultados são enumerados: aprimoramento da gestão, padronização de processos, treinamento de pessoal, trabalho em equipe, atenção focada no paciente, motivação, reconhecimento externo, mudança de cultura. A autora problematiza o modo como tais modelos têm sido empregados nos hospitais brasileiros

Pre-harvest sugarcane burning: Determination of emission factors through laboratory measurements

Sugarcane is an important crop for the Brazilian economy and roughly 50% of its production is used to produce ethanol. However, the common practice of pre-harvest burning of sugarcane straw emits particulate material, greenhouse gases, and tropospheric ozone precursors to the atmosphere. Even with policies to eliminate the practice of pre-harvest sugarcane burning in the near future, there is still significant environmental damage. Thus, the generation of reliable inventories of emissions due to this activity is crucial in order to assess their environmental impact. Nevertheless, the official Brazilian emissions inventory does not presently include the contribution from pre-harvest sugarcane burning. In this context, this work aims to determine sugarcane straw burning emission factors for some trace gases and particulate material smaller than 2.5μm in the laboratory. Excess mixing ratios for CO2, CO, NOX, UHC (unburned hydrocarbons), and PM2.5 were measured, allowing the estimation of their respective emission factors. Average estimated values for emission factors (g kg-1 of burned dry biomass) were 1,303 ± 218 for CO2, 65 ± 14 for CO, 1.5 ± 0.4 for NOX, 16 ± 6 for UHC, and 2.6 ± 1.6 for PM2.5. These emission factors can be used to generate more realistic emission inventories and therefore improve the results of air quality models. © 2012 by the authors; licensee MDPI, Basel, Switzerland.

Estudo comparativo de modelos matemáticos de qualidade de águas superficiais

Surface water quality models have been developed since 1925, when Streeter e Phelps created first order equations that represent the balance between DO and BOD. Since then, and specially after the ‘60s, new computational technologies evolved, making it possible to create more complex models, which try to represent, through mathematics, natural phenomena like eutrophication and rivers self-depuration. As main objective of such models is the understanding of aquatic systems and the relationship between them and the environment, so that it can support decision makers in creating water manage plans and in elaborating environmental projects of such resources. Regarding to that, it is of crucial importance the understanding of the models structures, so that one can choose the most appropriate model for the river in question. While one-dimensional models like QUAL2K are more appropriate for long and narrow rivers, bi- or tridimensional models (CE-QUAL-W2, WASP and CEQUAL- ICM) are more commonly used in wide and slower rivers, with higher lateral and/or vertical mixes rates. Besides, the more complex is the river studied more complex the model should be, which demands more costs and time for the model to be applied

Marco de caracterización y cálculo de las métricas de calidad de los componentes web para el desarrollo de aplicaciones de usuario final

En la Web 2.0, donde usuarios finales sin grandes conocimientos de programación pueden interactuar y crear aplicaciones web utilizando componentes publicados en Internet, ofrecidos por una gran variedad de proveedores de servicio. La selección de estos componentes requiere de un análisis exhaustivo por parte de los usuarios sobre las propiedades de estos componentes en referencia a su calidad. En este proyecto, se presentan dos modelos de calidad según una estructura jerárquica, uno para componentes web como elementos autónomos y otro para componentes utilizados en aplicaciones de mashup, basado en un análisis de la emergente Web 2.0. Además, se define una herramienta de medición y anotación de calidad para los distintos niveles de los modelos. Estas herramientas pretenden ser un útil instrumento para los desarrolladores y usuarios de componentes y mashups.---ABSTRACT---In the Web 2.0, where end users without a technical programming background can interact and develop web applications leveraging web components published on the Internet, offered by a great diversity of service providers. This component selection requires an exhaustive analysis by these end users based on the requirements of these components related to their quality. In this work, two quality models are presented according to a hierarchical structure, one for web components as independent elements and another one for web components as parts of web mashup applications, based on an analysis of the emerging Web 2.0. In addition, a measuring and write down quality framework is defined to weigh the quality of all the levels of the models. These tools intend to provide a useful instrument to components and mashup developers and end users.

Garantía de calidad en Educación Virtual No Formal para Pueblos Indígenas

Este trabajo de investigación presenta un modelo de garantía de calidad en educación Alternativa en modalidad virtual para Pueblos Indígenas del departamento de La Paz, Bolivia. Se plantea el modelo teórico constituido por componentes que emergen de la problemática enunciada, complementado con un análisis comparativo de modelos de calidad en educación virtual y la selección de variables e indicadores. Se da también una descripción del modelo causal explicativo inicial, todo esto utilizando elementos adecuados a las características de Pueblos indígenas del Dpto. de La Paz. Más adelante, se detalla la experiencia de capacitación en TIC’s a dos poblaciones indígenas aplicando el modelo planteado, lo que ha permitido hacer una validación empírica de este. Asimismo, se da a conocer los resultados que arrojaron las encuestas de calidad provenientes de la aplicación del modelo y el llenado correspondiente de las mismas. A partir de estos datos se ha realizado los análisis estadísticos pertinentes para una validación formal del modelo, estructurando una base de datos con la que se logra validar el modelo a través del análisis confirmatorio que conduce a verificar el ajuste de los datos muestrales con el modelo propuesto. ABSTRACT This research presents a model of quality assurance in Alternative education in virtual mode for indigenous communities in the department of La Paz, Bolivia. The theoretical model consisting of components that emerge from the problem expressed, supplemented by a comparative analysis of quality models in virtual education and the selection of variables and indicators arise. It also gives a description of the initial causal explanatory model, all using suited to the characteristics of indigenous communities in the Department of La Paz. Later, the experience of ICT training in two indigenous peoples applying the detailed proposed model, which has allowed for an empirical validation of this. It also discloses the results yielded quality surveys from the application of the model and the corresponding filling them. From these data it was performed statistical analysis relevant to a formal model validation, structuring a database with that achieved validate the model through confirmatory analysis leading to check the setting of the sample data with the model proposed.